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Course
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Credits
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Scientific Disciplinary Sector Code
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Contact Hours
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Exercise Hours
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Laboratory Hours
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Personal Study Hours
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Type of Activity
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Language
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20401851 -
CYTOLOGY AND HISTOLOGY
(objectives)
THE COURSE AIMS TO TEACH THE GENERAL ASPECTS OF THE STRUCTURE AND FUNCTION OF THE MAMMALIAN CELL AND TISSUES. THE GOAL OF THIS COURSE IS TO ENABLE STUDENTS TO RECOGNIZE THE CELL AND TISSUE STRUCTURE UNDER THE OPTICAL MICROSCOPE.
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|
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20401851-3 -
MODULO 3
(objectives)
THE COURSE AIMS TO TEACH THE GENERAL ASPECTS OF THE STRUCTURE AND FUNCTION OF THE MAMMALIAN CELL AND TISSUES. THE GOAL OF THIS COURSE IS TO ENABLE STUDENTS TO RECOGNIZE THE CELL AND TISSUE STRUCTURE UNDER THE OPTICAL MICROSCOPE.
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,5
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BIO/06
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-
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-
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5
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-
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Core compulsory activities
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ITA |
|
20401851-2 -
MODULO 2
(objectives)
THE COURSE AIMS TO TEACH THE GENERAL ASPECTS OF THE STRUCTURE AND FUNCTION OF THE MAMMALIAN CELL AND TISSUES. THE GOAL OF THIS COURSE IS TO ENABLE STUDENTS TO RECOGNIZE THE CELL AND TISSUE STRUCTURE UNDER THE OPTICAL MICROSCOPE.
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2,5
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BIO/06
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20
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-
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-
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-
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Core compulsory activities
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ITA |
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20401851-1 -
MODULO 1
(objectives)
THE COURSE AIMS TO TEACH THE GENERAL ASPECTS OF THE STRUCTURE AND FUNCTION OF THE MAMMALIAN CELL AND TISSUES. THE GOAL OF THIS COURSE IS TO ENABLE STUDENTS TO RECOGNIZE THE CELL AND TISSUE STRUCTURE UNDER THE OPTICAL MICROSCOPE.
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6
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BIO/06
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48
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-
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-
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-
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Basic compulsory activities
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ITA |
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20401848 -
BOTANY
(objectives)
GET THE BASIC KNOWLEDGES ON THE MORPHO-FUNCTIONAL ORGANIZATION OF THE PLANTS. INTRODUCTION TO THE TAXONOMY AND EVOLUTION OF ALGAE, FUNGI, BRYOPHYTES, PTERIDOPHYTES AND SPERMATOPHTYTES. IDENTICATION OF THE MAIN TAXONOMIC GROUPS, AND OF THE MAIN TISSUES AND ORGANS OF THE VASCULAR PLANTS.
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|
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20401848-3 -
MODULO 3
(objectives)
GET THE BASIC KNOWLEDGES ON THE MORPHO-FUNCTIONAL ORGANIZATION OF THE PLANTS. INTRODUCTION TO THE TAXONOMY AND EVOLUTION OF ALGAE, FUNGI, BRYOPHYTES, PTERIDOPHYTES AND SPERMATOPHTYTES. IDENTICATION OF THE MAIN TAXONOMIC GROUPS, AND OF THE MAIN TISSUES AND ORGANS OF THE VASCULAR PLANTS.
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2
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BIO/02
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-
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-
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20
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-
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Core compulsory activities
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ITA |
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20401848-2 -
MODULO 2
(objectives)
GET THE BASIC KNOWLEDGES ON THE MORPHO-FUNCTIONAL ORGANIZATION OF THE PLANTS. INTRODUCTION TO THE TAXONOMY AND EVOLUTION OF ALGAE, FUNGI, BRYOPHYTES, PTERIDOPHYTES AND SPERMATOPHTYTES. IDENTICATION OF THE MAIN TAXONOMIC GROUPS, AND OF THE MAIN TISSUES AND ORGANS OF THE VASCULAR PLANTS.
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1
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BIO/02
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8
|
-
|
-
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-
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Core compulsory activities
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ITA |
|
20401848-1 -
MODULO 1
(objectives)
GET THE BASIC KNOWLEDGES ON THE MORPHO-FUNCTIONAL ORGANIZATION OF THE PLANTS. INTRODUCTION TO THE TAXONOMY AND EVOLUTION OF ALGAE, FUNGI, BRYOPHYTES, PTERIDOPHYTES AND SPERMATOPHTYTES. IDENTICATION OF THE MAIN TAXONOMIC GROUPS, AND OF THE MAIN TISSUES AND ORGANS OF THE VASCULAR PLANTS.
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6
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BIO/02
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48
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-
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-
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-
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Basic compulsory activities
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ITA |
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20402480 -
LABORATORIO DI ANALISI DATI PER SCIENZE BIOLOGICHE
(objectives)
THIS COURSE IS AIMED TO PROVIDE STATISTICAL, MATHEMATICAL AND COMPUTER COMPETENCES NEEDED TO COLLECT EXPERIMENTAL DATA, SYNTHESIZING THE QUANTITATIVE INFORMATION, COMPARE THE RESULTS AND MAKE PREVISIONS EVALUATING THE RISK OF FAILURE. PRACTICALS WILL MAINLY ADDRESSED TO BIOLOGICAL PHENOMENA ALSO CONCERNING DAY-LIFE ASPECTS
LESSONS (9 CFU) AND PRACTICALS (3 CFU) DESCRIBE:
- THE PRINCIPAL METHODS FOR STATISTICAL SYNTHESIS: INDEXES, HISTOGRAMS, SCATTER PLOTS (XY PLOTS);
- THE STATISTICAL LAWS THAT GOVERN THE EXPERIMENTAL OBSERVATIONS AND CAUSE THE UNCERTAINTIES ASSOCIATED WITH MEASUREMENTS AND DATA PROCESSING.
- BASIC KNOWLEDGE ABOUT PROBABILITY AND PROBABILITY DISTRIBUTION FUNCTIONS, NAMELY: BINOMIAL, POISSON, UNIFORM, GAUSS.
- USE OF “REJECTION TESTS” TO UNDERSTAND AND COMPARE THE EXPERIMENTAL RESULTS.
- USE OF THE BAYES THEOREM, ESPECIALLY TO UNDERSTAND THE DIAGNOSTIC TESTS.
THE COURSE WILL PROVIDE THE FOLLOWING ABILITIES
- TO USE STATISTICAL METHODS TO SYNTHESIZE THE QUANTITATIVE INFORMATION IN AN EXPERIMENTAL DATA SET.
- TO EVALUATE THE UNCERTAINTY ON DIRECT AND INDIRECT MEASUREMENTS
- TO EVALUATE THE EXPERIMENTAL RESULTS APPLYING STATISTICAL TESTS
- TO APPLY THE BAYES THEOREM IN ORDER TO QUANTITATIVELY UNDERSTAND THE PROBABILITY OF A CAUSE
ACTIVITIES WILL USE BASIC SOFTWARE (SPREADSHEETS) FOR STATISTICAL DATA ANALYSIS
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|
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20402480-1 -
FISICA
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Also available in another semester or year
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20402480-2 -
INFORMATICA LEZ
(objectives)
THIS COURSE IS AIMED TO PROVIDE STATISTICAL, MATHEMATICAL AND COMPUTER COMPETENCES NEEDED TO COLLECT EXPERIMENTAL DATA, SYNTHESIZING THE QUANTITATIVE INFORMATION, COMPARE THE RESULTS AND MAKE PREVISIONS EVALUATING THE RISK OF FAILURE. PRACTICALS WILL MAINLY ADDRESSED TO BIOLOGICAL PHENOMENA ALSO CONCERNING DAY-LIFE ASPECTS
LESSONS (9 CFU) AND PRACTICALS (3 CFU) DESCRIBE:
- THE PRINCIPAL METHODS FOR STATISTICAL SYNTHESIS: INDEXES, HISTOGRAMS, SCATTER PLOTS (XY PLOTS);
- THE STATISTICAL LAWS THAT GOVERN THE EXPERIMENTAL OBSERVATIONS AND CAUSE THE UNCERTAINTIES ASSOCIATED WITH MEASUREMENTS AND DATA PROCESSING.
- BASIC KNOWLEDGE ABOUT PROBABILITY AND PROBABILITY DISTRIBUTION FUNCTIONS, NAMELY: BINOMIAL, POISSON, UNIFORM, GAUSS.
- USE OF “REJECTION TESTS” TO UNDERSTAND AND COMPARE THE EXPERIMENTAL RESULTS.
- USE OF THE BAYES THEOREM, ESPECIALLY TO UNDERSTAND THE DIAGNOSTIC TESTS.
THE COURSE WILL PROVIDE THE FOLLOWING ABILITIES
- TO USE STATISTICAL METHODS TO SYNTHESIZE THE QUANTITATIVE INFORMATION IN AN EXPERIMENTAL DATA SET.
- TO EVALUATE THE UNCERTAINTY ON DIRECT AND INDIRECT MEASUREMENTS
- TO EVALUATE THE EXPERIMENTAL RESULTS APPLYING STATISTICAL TESTS
- TO APPLY THE BAYES THEOREM IN ORDER TO QUANTITATIVELY UNDERSTAND THE PROBABILITY OF A CAUSE
ACTIVITIES WILL USE BASIC SOFTWARE (SPREADSHEETS) FOR STATISTICAL DATA ANALYSIS
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4,5
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INF/01
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36
|
-
|
-
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-
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Basic compulsory activities
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ITA |
|
20402480-3 -
INFORMATICA LAB
(objectives)
THIS COURSE IS AIMED TO PROVIDE STATISTICAL, MATHEMATICAL AND COMPUTER COMPETENCES NEEDED TO COLLECT EXPERIMENTAL DATA, SYNTHESIZING THE QUANTITATIVE INFORMATION, COMPARE THE RESULTS AND MAKE PREVISIONS EVALUATING THE RISK OF FAILURE. PRACTICALS WILL MAINLY ADDRESSED TO BIOLOGICAL PHENOMENA ALSO CONCERNING DAY-LIFE ASPECTS
LESSONS (9 CFU) AND PRACTICALS (3 CFU) DESCRIBE:
- THE PRINCIPAL METHODS FOR STATISTICAL SYNTHESIS: INDEXES, HISTOGRAMS, SCATTER PLOTS (XY PLOTS);
- THE STATISTICAL LAWS THAT GOVERN THE EXPERIMENTAL OBSERVATIONS AND CAUSE THE UNCERTAINTIES ASSOCIATED WITH MEASUREMENTS AND DATA PROCESSING.
- BASIC KNOWLEDGE ABOUT PROBABILITY AND PROBABILITY DISTRIBUTION FUNCTIONS, NAMELY: BINOMIAL, POISSON, UNIFORM, GAUSS.
- USE OF “REJECTION TESTS” TO UNDERSTAND AND COMPARE THE EXPERIMENTAL RESULTS.
- USE OF THE BAYES THEOREM, ESPECIALLY TO UNDERSTAND THE DIAGNOSTIC TESTS.
THE COURSE WILL PROVIDE THE FOLLOWING ABILITIES
- TO USE STATISTICAL METHODS TO SYNTHESIZE THE QUANTITATIVE INFORMATION IN AN EXPERIMENTAL DATA SET.
- TO EVALUATE THE UNCERTAINTY ON DIRECT AND INDIRECT MEASUREMENTS
- TO EVALUATE THE EXPERIMENTAL RESULTS APPLYING STATISTICAL TESTS
- TO APPLY THE BAYES THEOREM IN ORDER TO QUANTITATIVELY UNDERSTAND THE PROBABILITY OF A CAUSE
ACTIVITIES WILL USE BASIC SOFTWARE (SPREADSHEETS) FOR STATISTICAL DATA ANALYSIS
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1,5
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INF/01
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-
|
-
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15
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-
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Basic compulsory activities
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ITA |
|
20401849 -
GENERAL AND INORGANIC CHEMISTRY
(objectives)
Purpose of the course is to give the knowledge of the fundamental principles of the General and Inorganic chemistry and also the ability to apply the acquired knowledge to the solution of simple problems of General Chemistry.
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|
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20401849-3 -
MODULO 3
(objectives)
PURPOSE OF THE COURSE IS TO GIVE THE KNOWLEDGE OF THE FUNDAMENTAL PRINCIPLES OF THE GENERAL AND INORGANIC CHEMISTRY AND ALSO THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE TO THE SOLUTION OF SIMPLE PROBLEMS OF GENERAL CHEMISTRY.
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2
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CHIM/03
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-
|
-
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20
|
-
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Related or supplementary learning activities
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ITA |
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20401849-2 -
MODULO 2
(objectives)
PURPOSE OF THE COURSE IS TO GIVE THE KNOWLEDGE OF THE FUNDAMENTAL PRINCIPLES OF THE GENERAL AND INORGANIC CHEMISTRY AND ALSO THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE TO THE SOLUTION OF SIMPLE PROBLEMS OF GENERAL CHEMISTRY.
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1
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CHIM/03
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8
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-
|
-
|
-
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Related or supplementary learning activities
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ITA |
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20401849-1 -
MODULO 1
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Also available in another semester or year
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Università Roma Tre
